As the number of on-chip cores and memory demands of applications increase, judicious
management of cache resources has become not merely attractive but imperative. Cache …

Serverless computing is a rapidly growing paradigm that easily harnesses the power of the
cloud. With serverless computing, developers simply provide an event-driven function to …

Large commercial latency-sensitive services, such as web search, run on dedicated clusters
provisioned for peak load to ensure responsiveness and tolerate data center outages. As a …

Interference among distributed cloud applications can be classified into three types: full,
partial and zero. While prior research merely focused on full interference, the partial …

We can increase the efficiency of public cloud datacenters by harvesting allocated but
temporarily idling CPU cores from customer virtual machines (VMs) to run batch or analytics …

Large-scale public cloud providers invest billions of dollars into their cloud infrastructure and
operate hundreds of thousands of servers across the globe. For various reasons, much of …

Remote memory techniques for datacenter applications have recently gained a great deal of
popularity. Existing remote memory techniques focus on the efficiency of a single application …

Since the emergence of cloud computing service level objectives (SLOs) and service level
agreements (SLAs) have put themselves forward as one of the key enablers for cloud's on …

Recent advances in hardware, such as systems with multiple GPUs and their availability in
the cloud, are enabling deep learning in various domains including health care …

Containers are quickly increasing in popularity as the mechanism to deploy computation in
the cloud. In order to provide consistent and reliable performance, cloud providers must …